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The Application of Machine Learning to Problems in Graph Drawing - A Literature Review

Authors:
Raissa dos Santos Vieira
Hugo Alexandre Dantas do Nascimento
Wanderson Barcelos da Silva

Keywords: Graph Drawing; Human-Computer Interaction; Machine Learning.

Abstract:
Graph drawing, as a research field, is concerned with the visualization of information modeled in the form of graphs. The present paper is a literature review that identifies the state-of-the-art in applying machine learning techniques to problems in graph drawing. We focused on machine learning strategies that build up and represent knowledge about how to draw a graph. Surprisingly, only a few pieces of research can be found about this subject. We classified them in two main groups: the ones that extract knowledge from the user by human-computer interaction and those that are not based on data directly gathered from users. The study of these methods shows that there is still much to research and to develop regarding the application of machine learning to graph drawing. We suggest directions for future research on this area.

Pages: 112 to 118

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-386-5

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015